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Geo Maps & Stats
Last week I attended the Association of American Geographers Annual Conference and heard a talk by Robert Groves , Director of the US Census Bureau. Aside the impressiveness of the bureau’s work I was struck by how Groves conceived of visualisations as requiring either fast thinking or slow thinking . Fast thinking data visualisations offer a clear message without the need for the viewer to spend more than a few seconds exploring them.
YouTube user StoryMonoroch has posted a computer-generated video that displays seismic activity near Japan around March 3, 2011– the time-frame of the devastating earthquake and resulting tsunamis. The data rendering once again conveys the scale of this event, though this time from a geologic point of view. The video starts slowly in order to give the viewer a sense of the background activity, and then at around 1:45, things change dramatically: Obviously the video above does nothing to convey the resulting human devastation of the people of Japan. For a better sense of that, refer to the excellent before-and-after photo montage from ABC News, Australia .
Area cartogram maps are maps of non-absolute space where the areal extent is in proportion to some measured value. Cartogram maps retain a partially accurate relative location and relative space, but the actual area of the individual polygons features are overrepresented or underrepresented based on the assigned values.
I wrote a similar blog post in english about Google Chrome Frame and legacy versions of Internet Explorer titled Better Browsers over on the blogstats weblog. Glücklicherweise haben alle Webbrowser in den vergangenen Jahren große Fortschritte gemacht, was die Kompatibilität mit modernen Webstandards wie CSS und SVG angeht, und den Nutzern steht heute eine umfangreiche Auswahl an kostenfreien Produkten zur Verfügung. Mit dem Internet Explorer 9 ist auch Microsoft schließlich dieser Entwicklung gefolgt. Deshalb setzen die neuen Infografiken auf dieser Seite moderne Browser voraus und bieten keine Rückfalloption mehr an (siehe die Vorsätze für 2012).
Introduction Every location-based service [ 1 ] has to solve the following problem: find all venues within a given distance from the current location of the user. Long before the advent of mobile devices, geographic information systems (GIS) [ 2 ] had to deal with this (and other) problem(s). The NoSQL [ 3 ] datastore MongoDB [ 4 ] supports geospatial queries [ 5 ] (i.e. queries based on coordinates) out of the box. For a better understanding of the things to come, I recommend reading this article on Spring Data Mongo DB for an introduction to both MongoDB and the corresponding Spring Data API. Planar Maps
Neo4j is a powerful, award-wining graph database written in Java. It can store billions of nodes and relationships and allows very fast query/traversal. We release today a new version of the Neo4j Plugin supporting the latest 1.5 version of Neo4j. In Gephi, go to Tools > Plugins to install the plug-in. The plugin let you visualize a graph stored in a Neo4j database and play with it. Features include full import , traversal , filter , export and lazy loading .
Guest contribution by Robert Lang. Inequality is a topic that is increasingly being taught at key stage 3 and in other key stages particularly in GCSE and post 16 courses where comparing places in relation to standard and quality of life and inequality is important.
A step-by-step guide to Richard Leeke’s TabGeoHack for creating your own filled maps in Tableau Software Way back in 2009, we had a beautiful guest post by Giedre Aleknonyte describing a workaround to generate Choropleth Maps with Tableau (using version 5.0 by the way). Those days are over. One of the major new features of Tableau 7 is Filled Maps (or Choropleth Maps as we used to call them in all blog posts here). Did I say those days are over? Well, not quite.
In today’s information age, we enjoy all but instant digital access to the world’s collected knowledge. Consider: • Wikipedia contains more than 19 million articles in some 270 languages. • Google aims to catalog the world’s supply of printed knowledge by scanning all of the estimated 130 million books published in modern history. • And the world wide web itself contains more than 7 billion pages. But unfiltered access to unlimited sources is useless if you can’t find what you need.
Choropleth maps visualize geographic distributions using a color encoding. This example shows U.S. unemployment density by county, as of 2009. An Albers equal-area projection preserves the accuracy of the representation.
MapCite is a geographic data visualization company that offers both a web mapping and Excel interface for users to analyze their location data. MapCite is a relatively new company and current clients include the NHS and Vodafone in the UK. Oliver Jones , Head of Business Development, who led me through the demo, cautioned that MapCite is “not a GIS” and refers to the company’s products as location intelligence applications.
The WebGL Globe is an open platform for geographic data visualization created by the Google Data Arts Team. We encourage you to copy the code, add your own data, and create your own globes. Check out the examples here: http://www.chromeexperiments.com/globe The WebGL Globe supports data in JSON format, a sample of which you can find here . dat.globe makes heavy use of the Three.js library, and is still in early open development.
R- geo examples